Pnc Software Engineer interview typically runs 3 rounds: recruiter call, hiring manager assistant conversation, and final hiring manager interview. It took about 1-2 weeks and was notably conversational rather than technical.
$59K
Avg. Base Comp
$109K
Avg. Total Comp
3
Typical Rounds
2-4 weeks
Process Length
Our candidates report that PNC often evaluates software engineers less through technical drills and more through whether they can speak credibly about real product work. In the experience we reviewed, the conversation stayed centered on resume depth, past project decisions, and practical workflow details — even a question like how an app gets submitted to the Apple App Store. That tells us the team is listening for hands-on ownership and whether a candidate can explain the why behind their work, not just list the tools they used.
A recurring theme is that the hiring manager seems to test fit by putting the team’s roadmap directly in front of the candidate and asking, in effect, “Can you help us build this?” That makes the interview feel less like a puzzle session and more like a working session about scope, feasibility, and alignment. We’ve seen that candidates who can connect their background to the team’s near-term priorities tend to land better than those who rely on abstract engineering talk. The real signal here is product-to-engineering translation: can you turn business goals into a believable implementation path?
Just as notable, multiple candidates reported no coding exercises, whiteboard problems, or take-home work at all. That absence matters because it shifts the burden onto clarity, specificity, and relevance. If your examples are vague or disconnected from the team’s roadmap, the process can feel flat quickly. The candidates who seem strongest here are the ones who can discuss concrete delivery decisions, tradeoffs, and how they’d contribute to a defined plan without drifting into generic engineering language.
Synthesized from 1 candidate report by our editorial team.
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Real interview reports from people who went through the Pnc process.
The main round was a Kafka deep-dive, and it went deeper than I expected. It started comfortable — producers, consumers, partitioning strategy, stuff I have lived in for years. Then the interviewer started pulling threads: what actually happens during a consumer group rebalance, what breaks mid-flight, how do you guarantee you do not process the same payment event twice. That is where I started sweating a little — not because I did not know it, but because they wanted the failure-mode version, not the textbook version. I walked through idempotent deduplication the way I had actually built it — dedup keys, exactly-once semantics and where "exactly-once" is honestly marketing — and I could see the interviewer relax once I admitted the messy parts instead of pretending Kafka is clean. The surprise was how much they cared about testing: I ended up describing how I would structure an automated Kafka test framework, which turned into almost a whiteboarding session. Confident on the fundamentals, sweaty on the edge cases, and honestly the edge-case sweat is what got me through.
The specific questions covered: which Spring Kafka annotations apply on the consumer vs producer side; whether any annotation matters on the producer (they wanted @Transactional backed by KafkaTransactionManager); how to maintain message sequence on a hot partition after a rebalance (key-based partitioning, ConsumerRebalanceListener, manual offset commits with MANUAL_IMMEDIATE ack mode); at-least-once vs exactly-once semantics and idempotent consumer design; retry strategy and dead letter topic routing; consumer lag detection and per-partition lag metrics. Behavioral questions included the hardest production bug I had dealt with and ordering guarantees in financial event streams.
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Topics based on recent interview experiences.
Featured question at Pnc
Describing a data project and its challenges
| Question | |
|---|---|
| Your Strengths and Weaknesses | |
| 2nd Highest Salary | |
| Employee Salaries | |
| Merge Sorted Lists | |
| Subscription Overlap | |
| Closest SAT Scores | |
| Empty Neighborhoods | |
| Top Three Salaries | |
| Rolling Bank Transactions | |
| Find the Missing Number | |
| Bagging vs Boosting | |
| String Shift | |
| Prime to N | |
| Comments Histogram | |
| Maximum Profit | |
| Like Tracker | |
| P-value to a Layman | |
| Google Maps Improvement | |
| Cumulative Distribution | |
| Monthly Customer Report | |
| Rectangle Overlap | |
| Find the First Non-Repeating Character in a String | |
| Over-Budget Projects | |
| Slacking Employees Salaries | |
| Top 3 Users | |
| Size of Joins | |
| Total Spent on Products | |
| Sum to N | |
| Over 100 Dollars |
Synthesized from candidate reports. Individual experiences may vary.
The process begins with an initial recruiter call to discuss your background, interest in the role, and overall fit. In the reported experience, this stage was conversational and did not include coding or technical screening questions.
The second round was a conversational discussion with the hiring manager's assistant. This step appeared to be another fit and background conversation rather than a technical interview, with no whiteboard, coding exercise, or take-home assignment.
The final round was a one-hour interview with the hiring manager. It focused on resume walkthroughs, past projects, and how the candidate would contribute to the team’s roadmap, including questions like how they would approach implementing planned features. The interviewer also shared the team’s product roadmap and assessed alignment with the role, but there were no coding or system design questions.